Having spent several years as an AI and Data Platform Architect, I've noticed that building federated analytics initiatives can feel a lot like organizing a...
Latest posts
Why Agentic AI Matters: Amazing Innovations for Data Platform Efficiency
Agentic AI is the new focus in the evolving world of AI. Since agentic AI systems are independent agents that can reason, they are quite different compared...
How to Shape a Successful Data Product Roadmap: A Comprehensive Guide
In today’s AI driven trend, organizations are increasingly recognizing the value of data products. These products, which leverage data to deliver actionable...
AWS S3 Tables & Apache Iceberg: The Future of Data Storage
Introduction At AWS re:Invent 2024, AWS introduced Amazon S3 Tables, a purpose-built solution for managing tabular data at scale, built on the Apache...
AI Data Engineering: As A Data Engineer, You Really Need to Learn AI!
While leading data platform Architecture at Hilti and 10+ years of extensive experience working with data, I've witnessed numerous technological shifts in...
Beyond Traditional Data Engineering: Your Guide to Emerging Specializations
Introduction In today's data-driven world, the field of data engineering has evolved far beyond its initial scope. What was once a relatively...
Orchestrate Data Team Leadership: Leadership in the Revolutionary AI Renaissance
Introduction While some industry voices suggest that data teams are predisposed to failure, this perspective overlooks a crucial reality: many teams...
The Future AI Infrastructure: A Leader’s Perspective
The AI data infrastructure landscape is undergoing a significant transformation. I see six critical areas that will define the future of AI infrastructure ...
Advanced Data Strategies for Large Language Models: A Technical Deep Dive
Enhance LLMs with advanced data integration for powerful, context-aware applications! Introduction In the rapidly evolving field of artificial intelligence,...
Normalization vs Denormalization: Optimizing Data Modeling Techniques
Data modeling is a crucial step in designing and implementing effective data storage and retrieval systems. Two widely used techniques in data modeling are...